Fork me on GitHub


View as list instead. Visit my Scholar page.


EFFGAN: Ensembles of fine-tuned federated GANs

2022 IEEE International Conference on Big Data

Few-shot bioacoustic event detection using a prototypical network ensemble with adaptive embedding functions

DCASE 2022

Financing Solutions for Circular Business Models: Exploring the Role of Business Ecosystems and Artificial Intelligence

Business Strategy and the Environment

A Novel Method for Smart Fire Detection Using Acoustic Measurements and Machine Learning: Proof of Concept

Fire Technol.

Decentralized adaptive clustering of deep nets is beneficial for client collaboration



Adversarial representation learning for synthetic replacement of private attributes

IEEE BigData 2021

Decentralized federated learning of deep neural networks on non-iid data

FL-ICML 2021

Scaling Federated Learning for Fine-Tuning of Large Language Models

NLDB 2021


Specialized federated learning using a mixture of experts

Arxiv 2020

Adversarial representation learning for private speech generation



Blood glucose prediction with variance estimation using recurrent neural networks


Grammatical gender in Swedish is predictable using recurrent neural networks

SweCog 2019

Semantic segmentation of fashion images using feature pyramid networks


Generative modelling of semantic segmentation data in the fashion domain


Character-based recurrent neural networks for morphological relational reasoning

JLM 2019


Disentanglement by Penalizing Correlation

DisentangleNIPS 2017

Character-based recurrent neural networks for morphological relational reasoning

SCLeM 2017


Named entity recognition in Swedish health records with character-based deep bidirectional LSTMs

BioTxtM 2016

C-RNN-GAN: Continuous recurrent neural networks with adversarial training

CML 2016

Assisting discussion forum users using deep recurrent neural networks

RepL4NLP 2016

2015 and earlier

Extractive summarization by aggregating multiple similarities

RANLP 2015

Visions and open challenges for a knowledge-based culturomics

IJDL 2015

Editing simple graphs

JGAA 2014

Extractive summarization using continuous vector space models

CVSC 2014

Adaptive dynamics of realistic small-world networks

ECCS 2009

Olof Mogren, PhD, RISE Research institutes of Sweden. Follow me on Mastodon.